{"title":"研究石油冲击与主权信用风险之间的关系:主要石油出口国的多层面见解","authors":"Nader Naifar","doi":"10.1016/j.najef.2024.102205","DOIUrl":null,"url":null,"abstract":"<div><p>This paper investigates the frequency and quantile connectedness between oil market shocks and sovereign credit risk of seven major oil exporting countries: Saudi Arabia, Russia, the United Arab Emirates, Norway, the United States, Brazil, and Mexico. We apply the time-domain approach of <span>Diebold & Yılmaz (2012)</span>, the frequency-domain approach of <span>Baruník & Křehlík (2018)</span>, and the quantile-based connectedness approach of <span>Ando et al. (2018)</span>. Empirical results indicate that (i) spillover effects vary significantly across different investment horizons, with Mexico, Brazil, and Saudi Arabia emerging as key transmitters of credit risk volatility, (ii) the United Arab Emirates consistently appears as a major net receiver of these risks, highlighting its vulnerability to external shocks, (iii) in both short-term and long-term horizon, demand shocks stand out as the most influential determinants of volatility in sovereign credit risks, and (iv) during periods of heightened credit risk perception, the exacerbating role of oil demand shocks becomes more pronounced..</p></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"74 ","pages":"Article 102205"},"PeriodicalIF":3.8000,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Examining the nexus between oil shocks and sovereign credit risk: Multidimensional insights from major oil exporters\",\"authors\":\"Nader Naifar\",\"doi\":\"10.1016/j.najef.2024.102205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper investigates the frequency and quantile connectedness between oil market shocks and sovereign credit risk of seven major oil exporting countries: Saudi Arabia, Russia, the United Arab Emirates, Norway, the United States, Brazil, and Mexico. We apply the time-domain approach of <span>Diebold & Yılmaz (2012)</span>, the frequency-domain approach of <span>Baruník & Křehlík (2018)</span>, and the quantile-based connectedness approach of <span>Ando et al. (2018)</span>. Empirical results indicate that (i) spillover effects vary significantly across different investment horizons, with Mexico, Brazil, and Saudi Arabia emerging as key transmitters of credit risk volatility, (ii) the United Arab Emirates consistently appears as a major net receiver of these risks, highlighting its vulnerability to external shocks, (iii) in both short-term and long-term horizon, demand shocks stand out as the most influential determinants of volatility in sovereign credit risks, and (iv) during periods of heightened credit risk perception, the exacerbating role of oil demand shocks becomes more pronounced..</p></div>\",\"PeriodicalId\":47831,\"journal\":{\"name\":\"North American Journal of Economics and Finance\",\"volume\":\"74 \",\"pages\":\"Article 102205\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"North American Journal of Economics and Finance\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S106294082400130X\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"North American Journal of Economics and Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S106294082400130X","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Examining the nexus between oil shocks and sovereign credit risk: Multidimensional insights from major oil exporters
This paper investigates the frequency and quantile connectedness between oil market shocks and sovereign credit risk of seven major oil exporting countries: Saudi Arabia, Russia, the United Arab Emirates, Norway, the United States, Brazil, and Mexico. We apply the time-domain approach of Diebold & Yılmaz (2012), the frequency-domain approach of Baruník & Křehlík (2018), and the quantile-based connectedness approach of Ando et al. (2018). Empirical results indicate that (i) spillover effects vary significantly across different investment horizons, with Mexico, Brazil, and Saudi Arabia emerging as key transmitters of credit risk volatility, (ii) the United Arab Emirates consistently appears as a major net receiver of these risks, highlighting its vulnerability to external shocks, (iii) in both short-term and long-term horizon, demand shocks stand out as the most influential determinants of volatility in sovereign credit risks, and (iv) during periods of heightened credit risk perception, the exacerbating role of oil demand shocks becomes more pronounced..
期刊介绍:
The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.